There are private datasets, and 3rd party providers of these models. Fable doesn’t have a datapoint here because of its particular data retention policy. Even if you don’t trust AWS, do you think Opus on AWS is also sending the data to Anthropic? Do you have any evidence?
1. it's not cheap to run glm-5.2 so not just anyone can do it 2. just because you haven't heard of attacks doesn't mean they haven't happened 3. this attack in the article was performed by a prerelease model which presumably benchmarks a bit above Sol which benchmarks above glm-5.2
We went from gpt 3 to models discovering and chaining their own zero days in a couple years. I'm not sure what else "takeoff" could possibly look like?
Roughly, you subscribe and listen to an observable. Incrementals are more like a cache across some DAG of computation + state that lets you optimize by only recomputing what needs to be recomputed.
"Current GPT/Claude/Gemini" is not a meaningful statement about perf. There's many different models from each of those providers and there's a considerable gap between the best of anthropic and open ai compared to gemini.
Benchmarks have GLM 5.2 somewhere underneath Sol and Fable and closer to now last-gen openai and anthropic models.
I used a lot of Anki for spanish on top of classes. I'd say (anecdotally) it can bump you up a half to full letter in the A-C system depending on where you start. I learned far more living in Mexico though. You really need to talk to real humans to learn another language. If you don't, you can have a decent rating in A-C system but not actually converse that well.
Why would you bet against it being solved by LLMs? Isn't this very post proof that LLMs in an agentic harness are capable of doing real math? If you just keep cranking away at the tokens I don't see a principled argument against that leading to more solutions to unsolved math, even the hardest problems.
I guess I would read this as “copper” as a primary requirement / necessity and some other metal as a secondary requirement. Are you just being pedantic?
Similar to running arch Linux. Many people do need to. But many people just like tinkering. Tinkering can lead to positive outcomes but it’s usually not “doing work”.
Pi is so “unbloated” that it’s extra effort to use. You can decide how much work to put into it. I get the trade off. But this is a big jump from CC. I’d recommend some middle ground like opencode.